Build and maintain digital tools supporting cardiovascular health, hypertension, and diabetes programs.
Support system integrations and data processing using Python, Ruby, and Java-based platforms.
Ensure reliability, security, and scalability of backend services in production environments.

Technical Environment:

Work with open-source health platforms including Simple (Ruby), DHIS2 (Java), and custom Python pipelines.
Use Docker for containerization and AWS for cloud hosting.
Explore machine learning to predict patient behavior and improve retention.

Qualifications and Experience:

Typically 2–4 years of professional Python development experience.
Strong understanding of SQL, object-oriented principles, and CI/CD methodology.
Familiarity with APIs, user-facing components, and cloud infrastructure.

Resolve to Save Lives

Resolve to Save Lives is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Since 2017, it has worked with governments and partners in more than 60 countries to save millions of lives, fostering a supportive remote team culture.

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